A column oriented dataset that can be used for named-entity recognition.

Contains code for the API that takes in text and predicts concepts & keywords from a list of standardized NASA keywords. API is for exposing models created with the repository `concept-tagging-training`.

A CRF-based NER

Experimental repository for NER (Named-entity recognition) for sentences of Ukrainian language.

A machine translation project that safeguards sensitive data through privacy-preserving techniques.

Extracting search filters from natural language queries using custom named entity recognition with spaCy and machine learning

Code for the NAACL DADC Workshop paper "Resilience of Named Entity Recognition Models Under Adversarial Attack".

[Konvens21] This repository contains the DFKI MobIE Corpus, a dataset of 3,232 German-language documents that have been annotated with fine-grained geo-entities, such as streets, stops and routes, as well as standard named entity types (organization, date, number, etc).

文言文信息抽取（实体识别+关系抽取）

Lightweight PII redaction pipeline using Hugging Face NER + regex (Python) 96.5% accuracy

[EN] A python module for recognition of assets in texts in the Portuguese language - [PT] Um módulo python para reconhecimento de bens em textos na língua portuguesa

Hosts the dataset for Agriculture Named Entity Recognition in the Open Research Knowledge Graph

Project that aims to sentenize all the open data of Riksdagen and other sources to create an easily linkable dataset of sentences that can be refered to from Wikidata lexemes and other resources

Lightweight transformers-based NER pipeline.

FastAPI semantic search + custom entity detection platform.

Annotated corpus of 19th century classical commentaries. Supported tasks: named entity recognition, entity linking and citation mining.

Linkenite Hackathon Challenge : Create a website that automatically fetch gmail and outlook mails everyday specifically focused on support, complaint, request, help related querry and try geting context and summarized draft automatically generated which helps makes stuffs easier

This repository is for the paper UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware Translation. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1709–1717, Vienna, Austria. Association for Computational Linguistics.